INTRODUCTION Bioinformatics is a branch of biological science which deals with the study of methods for storing‚ retrieving and analyzing biological data‚ such as nucleic acid (DNA/RNA) and protein sequence‚ structure‚ function‚ pathways and genetic interactions. Simply we can say that bioinformatics is the combination of computer systems and biological systems (figure: 1). It generates new knowledge that is useful in such fields as drug design and development of new software tools to create
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are the general chemical features of an N-terminal signal sequence that targets secretory proteins to the ER? The SRP delivers the ribosome/nascent protein complex to the SRP receptor Hydrophobic interaction 6. N-terminal signal sequences (know whether it is soluble or not in water‚ know the cytoplasmic protein that recognizes this sequence‚ and know the destination of the growing proteins that contains this N-terminal signal sequences). 7. Protein insertion into the mammalian ER membrane is
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3. Transcribe the DNA into mRNA Sequence A: AGA AGG GAG GAU UUG CAA GGU GGC CAA GAA UUA GGC GGC GGU CCC GGG GCG GGG AGU CUU CAA CCA Sequence B: AGU CUG CAA AAA CGG GGC AUU GUU GAA CAA UGU UGU ACC AGU AUU UGC AGU CUC UAC CAG UUC GAG AAU UAC UGA Sequence C: AUG UUU GUA CAU UUG UGU GGG AGU CAC CUG GUU GAG CGU UGU AUU UGG UUU GUG GCG AGC GCG GCU UUU UCU AUA 4. Beginning sequence: Sequence C since it starts with AUG (the starting codon) Middle sequence: Sequence A since it does not end with an ending
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closely related.” Our evidence to support this claim is all in the data table 6.1 and 6.2‚ which is the amino acid sequence for hemoglobin subunit alpha protein. In the first four amino acid sequences we had noticed the Elk‚ Cow‚ Pallid Bat‚ and Mouse not only shared the amino acids M ‚ V‚ and L ‚ but they all had started off with the M amino acid in the very first sequence. In sequence 5 it switches up and shows how the Tulk‚ Carribou‚ Cow ‚Big-Eared Bat‚ Golden Hamster‚ and Nine-Banded Armadillo
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Online Homework Focused Exercises for Math SAT Skill Set 17: Sequences Many of the problems in this exercise set came from The College Board‚ writers of the SAT exam. 1. 7‚ 15‚ 31‚ 63‚ ... The first term in the sequence above is 7‚ and each term after the first is determined by multiplying the preceding term by m and then adding p. What is the value of m ? (A) (B) (C) (D) (E) 1 2 3 4 9 2. 2‚ 6‚ 14‚ 30‚ ... In the sequence above‚ the first term is 2. Each number after the first is obtained
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—Hailstone Sequences [12 marks] A hailstone sequence is a sequence of integers found by applying the following rule: Hailstone Iteration: For an integer n in a hailstone sequence‚ the next item in the sequence is • 3n + 1 if n is odd‚ or • n / 2 if n is even. For example‚ the hailstone sequence starting at 6 is 6 ⇒ 3 ⇒ 10 ⇒ 5 ⇒ 16 ⇒ 8 ⇒ 4 ⇒ 2 ⇒ 1. The sequence ends when 1 is reached. The name "hailstone sequence" stems from the way the values in the sequence go up and down‚ as a hailstone
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by identifying the logarithmic sequences. After identifying the pattern‚ I will produce a general statement which defines the sequence. I will then test the validity of my general statement by using other values. I will finally conclude the portfolio task by explaining how I arrived to my general statement and its limitations. Consider the following sequences. Write down the next two terms of each sequence. For the first row‚ the next two terms of the sequence would be log64 8 and log128 8.
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its associated gene. • Identify mutations that cause the disorder. • Find the gene on a chromosome map. • Examine the gene’s sequence and structure. • Access the amino acid sequence of a gene’s protein product. • Explore the 3-‐D structure of the gene’s protein product. Updated: February 2011 The Gene
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Sequence A TCT TCC CTC CTA AAC GTT CAA CCG GTT CTT AAT CCG CCG CCA GGG CCC CGC CCC TCA GAA GTT GGT Sequence B TCA GAC GTT TTT GCC CCG TAA CAA CTT GTT ACA ACA TGG TCA TAA ACG TCA GAG ATG GTC AAT CTC TTA ATG ACT Sequence C TAC AAA CAT GTA AAC ACA CCC TCA GTG GAC CAA CTC CGC AAC ATA AAC CAA ACA CCG CTC GCG CCG AAA AAG ATA TGG 3. 4. Sequence A - Middle Sequence AGA AGG GAG GAU UUG CAA GUU GGC CAA GAA UUA GGC GGC GGU CCC GGG GCG GGG AGU CUU CAA CCA Sequence B - End Sequence AGU
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code rate (n ≥ m) and the transformation is a function of the last k information symbols‚ where k is the constraint length of the code. The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states – called the Viterbi path – that results in a sequence of observed events. The terms Viterbi path and Viterbi algorithm are also applied to related dynamic programming algorithms that discover the single most likely explanation for an observation. For example‚ in statisticalparsing a
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